Full-Time

LLM Engagement Manager

Confirmed live in the last 24 hours

Appen

Appen

10,001+ employees

Provides high-quality training data for AI

AI & Machine Learning

Compensation Overview

$70k - $90kAnnually

Mid

Remote in USA

Category
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Data Analysis
Requirements
  • Minimum 3 years of project management experience in a professional services or technology organization. Experience delivering LLM or language data services preferred
  • Bachelor's degree from an accredited University. Degree in linguistics, data science, or other related fields preferred
  • Ability to analyze data, draw insights, and develop client-facing reports
  • Strong communication skills and ability to manage relationships with internal and external stakeholders
  • High level of ownership with the ability to thrive in a fast-paced, dynamic environment
  • Passion for the AI industry and understanding of AI technologies including LLMs
Responsibilities
  • Understand client and project objectives to define methodology, job design, guidelines, recruitment requests, and quality management plan
  • Lead project teams in a matrix environment to ensure end-to-end delivery against project scope, timeline and budget
  • Provide regular project status reporting, such as productivity, quality, financial health, and other key performance metrics
  • Manage and escalate risks, and undertake recovery actions as necessary
  • Provide clear communications to internal and external stakeholders
  • Prepare client deliverables, including data and reports
  • Lead internal PPRs and participate in program improvement initiatives to improve Appen’s LLM delivery capabilities

Appen provides high-quality training data essential for developing artificial intelligence (AI) systems by collecting and labeling various types of data, including images, text, speech, audio, and video. The company uses a combination of in-house experts and a network of over 1 million flexible contractors to deliver data annotation services, which help AI algorithms learn effectively. Appen stands out from competitors due to its extensive global reach and focus on providing reliable data for technology companies. The goal is to support organizations in deploying effective AI systems by supplying the necessary training data.

Company Stage

IPO

Total Funding

$358M

Headquarters

Sydney, Australia

Founded

1996

Growth & Insights
Headcount

6 month growth

-18%

1 year growth

-18%

2 year growth

-18%
Simplify Jobs

Simplify's Take

What believers are saying

  • Appen's partnerships with major tech companies like Google and AWS highlight its critical role in the AI ecosystem and potential for sustained growth.
  • The launch of solutions for customizing large language models (LLMs) positions Appen at the forefront of AI innovation.
  • Cost-cutting measures and strategic leadership changes could improve operational efficiency and profitability.

What critics are saying

  • The unexpected breach of a contract with Google could impact Appen's reputation and financial stability.
  • Frequent leadership changes, including the recent CEO resignation, may lead to strategic instability and affect employee morale.

What makes Appen unique

  • Appen's extensive network of over 1 million flexible contractors allows it to scale data annotation projects rapidly, a capability that many competitors lack.
  • The company's focus on high-quality, human-annotated datasets ensures superior training data for AI models, setting it apart from automated data labeling solutions.
  • Recognition as a leader in Everest Group's Data Annotation and Labeling Solutions for AI/ML PEAK Matrix Assessment 2024 underscores Appen's industry leadership.

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